Using Ruckus Smart Analytics

Ruckus Smart Analytics uses advanced analytics techniques to identify APs that are exhibiting different-from-normal behavior, and flags them for review.

If an AP is flagged for review, it does not necessarily mean that there is a problem with the AP. It just means that Ruckus Smart Analytics detected outside-of-normal behavior for that AP. An AP is flagged for review under the following conditions:

  • User Traffic: An AP is flagged for review when the User Traffic is unusually high or low compared to the expected trends
  • Client Count: An AP is flagged for review when the Client Count is unusually high or low compared to the expected trends
  • Session Count: An AP is flagged for review when the Session Count is unusually high or low compared to the expected trends
  • Short Session Ratio: An AP is flagged for review when the ratio of short sessions per total sessions becomes unusually high.
  • Reboot Count: An AP is flagged for review when the number of times the AP has been rebooted is unusually high.

The following figure shows an example of Ruckus Smart Analytics output, which appears only on the Overview dashboard:

Figure 1. Default Display Example of Ruckus SmartAnalytics

After the first few days, the system begins showing results, but the accuracy of the results improves over time, as the system learns more about the AP user traffic, client and session patterns. The results are usually accurate after one month, when the system completes learning and understands the short-term, medium-term and long-term trends for each of these metrics for each AP. The list of APs for review is refreshed every 24 hours.

Note: At the top of the SmartAnalytics display, shown above, each anomaly type (User Traffic, Client Count, Session Count, Short Session Ratio, and Reboot Count) has a number in grey. These numbers indicate the total number of access points flagged for possible problems for the corresponding anomaly type.

Actions You Can Perform on the Smart Analytics Display

The default display of the Ruckus SmartAnalytics information shows all possible anomalies for all access points that you have currently selected. You can do the following:

  • To interpret the color coding and associated scores, note that the closest the score is to 10, the more likely there is to be an issue with the AP for the corresponding anomaly type:
    • Deep red = a score in the range of 9 to 10
    • Orange red = a score in the range of 8 to 9
    • Amber = a score in the range of 7 to 8
    • Deep yellow = a score in the range of 6 to 7
    • Bright yellow = a score in the range of 5 to 6
  • Click on any AP to go to the AP Details dashboard for that AP, where you can then view anomaly charts for details, as shown in How to View Details from the Ruckus Smart Analytics Display.
  • Use the gear icon on the upper right of the SmartAnalytics display to customize the output.
  • Click on any of the Anomaly tabs to display the output for only the tabs you select. For example, if you want to view only the access points that have a possible anomaly with reboot count, highlight the Reboot Count tab only. The following figure shows a sample display for this scenario (note that the Reboot Count tab has been selected and appears in gray below):
    Figure 2. Ruckus SmartAnalytics Output When Filtering on Reboot Count Only
  • To sort anomalies by one of the scores, click on the desired column, then use the arrow that appears. The screen below shows sorting on Client Score Count, with the highest score on top.

How to View Details from the Ruckus Smart Analytics Display

From the Ruckus Smart Analytics output, you can click on an AP/MAC Address link, which takes you to the AP Details Dashboard, where graphical representations of each anomaly type for that AP are shown (see the illustrations below for examples).

The following figures show examples of each anomaly type, with extra detail provided when you place your cursor over a portion of the chart.

Figure 3. Client Count
Figure 4. User Traffic
Figure 5. Session Count
Figure 6. Short Session Ratio
Figure 7. Reboot Count